Ivan Rusyn

This paper develops a deep learning framework to screen for cardiotoxicity using hiPSC-derived cardiomyocytes, identifying compounds with high toxicity scores and inter-donor variability.

The paper creates a database of IMS-MS data for 4,685 xenobiotic chemicals to enable rapid suspect screening of environmental contaminants.

The paper develops cardiac reference ranges for Mus musculus using the Collaborative Cross, identifies strains with disease-like phenotypes, and highlights variability sources in cardiac function measurements.

This study systematically evaluates 1,538 ECHA decisions on read-across adaptations in REACH testing proposals, finding that 49% were accepted with group read-across having higher acceptance odds.

The paper develops a modified adult neuron processing method to enable age- and sex-dependent drug screening in primary cortical neurons, revealing effects on neuritogenesis and neuron survival.

The paper identifies genetic regulators of gene expression and chromatin accessibility across multiple tissues using a genetically diverse mouse population and proposes a causal model for gene regulation.